trace

Root cause analysis of runtime regressions and latency spikes works by generating multiple competing hypotheses, gathering evidence in parallel, and ranking explanations based on falsification. This approach identifies the critical unknown and recommends the best discriminating probe to collapse uncertainty.

Debugging ambiguous causal issues without guessing requires orchestrating deliberately different tracer hypotheses and ranking them using evidence strength. Explicit falsification downgrades weak or contradicted explanations, ensuring the final synthesis is evidence-based.

Hypothesis testing for tracing configuration and routing behavior involves restating the observation, generating multiple hypothesis lanes, and collecting evidence for and against each lane. A rebuttal round downgrades contradicted explanations before outputting a ranked synthesis.

Postmortem and premortem architecture tracing applies this approach by evaluating competing explanations for observed outcomes. It restates the observation, generates candidate causes, ranks them using evidence, and outputs a discriminating next probe to verify critical unknowns.

When root cause analysis is not working, it typically lacks evidence ranking and explicit falsification. Generating competing hypotheses, running a parallel evidence gathering round, and executing a rebuttal phase downgrades weak theories and highlights the critical unknown.

Evidence-based causal investigations require no external dependencies. The process relies on restating the observation, orchestrating competing tracer hypotheses, gathering evidence, and running a rebuttal round to produce a ranked synthesis.